IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v235y2019icp1141-1152.html
   My bibliography  Save this article

Achieving natural ventilation potential in practice: Control schemes and levels of automation

Author

Listed:
  • Chen, Yujiao
  • Tong, Zheming
  • Wu, Wentao
  • Samuelson, Holly
  • Malkawi, Ali
  • Norford, Leslie

Abstract

A major challenge to fully achieve the natural ventilation (NV) potential in green buildings is the control and coordination of windows and the HVAC system. Three main types of control schemes with increasing levels of automation were examined in this study: spontaneous occupant control driven by thermal comfort, informed occupant manual control that follows instructional signals, and the fully automatic window/HVAC control system governed by either rule-based heuristic control criteria or a computational backend for model predictive control (MPC). Energy saving performance, indoor thermal comfort, and frequency of operation were used as metrics to evaluate various control schemes. We assessed the effectiveness of these control schemes using five representative climates in China that range from hot to severely cold. Our results demonstrated the advantage of fully automatic system, especially integrated with MPC, which showed energy savings of 17–80% with zero discomfort degree hours. In contrast with MPC, the fully automatic system with heuristic control showed 10–66% energy savings and the same discomfort degree hours. Neither the informed nor the spontaneous occupant control cases studied were able to maintain the indoor air temperature within the comfort range at all times. The informed occupant control in particular resulted in thousands of discomfort degree hours in the worst cases. The spontaneous occupant control showed moderate to no energy savings, whereas the informed occupant control introduced excessive energy usage in certain cases. Overall, the fully automatic NV control system exhibited the best energy saving performance and occupant satisfaction among studied control schemes despite of the additional initial investment. It is particularly true in climates where NV control has a considerable impact on building energy performance and employing improper NV control can cause energy waste and excessive thermal discomfort. In the selection of natural ventilation control system, our analysis suggests that developers and building owners should not only consider the initial system investment and maintenance cost, but also take into account the annual energy savings and occupant satisfaction to fully realize natural ventilation potential.

Suggested Citation

  • Chen, Yujiao & Tong, Zheming & Wu, Wentao & Samuelson, Holly & Malkawi, Ali & Norford, Leslie, 2019. "Achieving natural ventilation potential in practice: Control schemes and levels of automation," Applied Energy, Elsevier, vol. 235(C), pages 1141-1152.
  • Handle: RePEc:eee:appene:v:235:y:2019:i:c:p:1141-1152
    DOI: 10.1016/j.apenergy.2018.11.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918317227
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.11.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oropeza-Perez, Ivan & Østergaard, Poul Alberg, 2014. "Potential of natural ventilation in temperate countries – A case study of Denmark," Applied Energy, Elsevier, vol. 114(C), pages 520-530.
    2. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    3. Li, Xiwang & Wen, Jin & Malkawi, Ali, 2016. "An operation optimization and decision framework for a building cluster with distributed energy systems," Applied Energy, Elsevier, vol. 178(C), pages 98-109.
    4. Homod, Raad Z. & Sahari, Khairul Salleh Mohamed & Almurib, Haider A.F., 2014. "Energy saving by integrated control of natural ventilation and HVAC systems using model guide for comparison," Renewable Energy, Elsevier, vol. 71(C), pages 639-650.
    5. Artmann, N. & Manz, H. & Heiselberg, P., 2007. "Climatic potential for passive cooling of buildings by night-time ventilation in Europe," Applied Energy, Elsevier, vol. 84(2), pages 187-201, February.
    6. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    7. Peng, Jinqing & Lu, Lin & Yang, Hongxing & Ma, Tao, 2015. "Comparative study of the thermal and power performances of a semi-transparent photovoltaic façade under different ventilation modes," Applied Energy, Elsevier, vol. 138(C), pages 572-583.
    8. Yao, Runming & Liu, Jing & Li, Baizhan, 2010. "Occupants' adaptive responses and perception of thermal environment in naturally conditioned university classrooms," Applied Energy, Elsevier, vol. 87(3), pages 1015-1022, March.
    9. Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
    10. Oropeza-Perez, Ivan & Østergaard, Poul Alberg, 2014. "Energy saving potential of utilizing natural ventilation under warm conditions – A case study of Mexico," Applied Energy, Elsevier, vol. 130(C), pages 20-32.
    11. Tong, Shuiguang & Cheng, Zhewu & Cong, Feiyun & Tong, Zheming & Zhang, Yidong, 2018. "Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 125(C), pages 73-86.
    12. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    13. Li, Xiwang & Wen, Jin & Bai, Er-Wei, 2016. "Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification," Applied Energy, Elsevier, vol. 164(C), pages 69-88.
    14. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    15. Hughes, Ben Richard & Calautit, John Kaiser & Ghani, Saud Abdul, 2012. "The development of commercial wind towers for natural ventilation: A review," Applied Energy, Elsevier, vol. 92(C), pages 606-627.
    16. Hiyama, Kyosuke & Glicksman, Leon, 2015. "Preliminary design method for naturally ventilated buildings using target air change rate and natural ventilation potential maps in the United States," Energy, Elsevier, vol. 89(C), pages 655-666.
    17. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    18. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. de Araujo Passos, Luigi Antonio & Ceha, Thomas Joseph & Baldi, Simone & De Schutter, Bart, 2023. "Model predictive control of a thermal chimney and dynamic solar shades for an all-glass facades building," Energy, Elsevier, vol. 264(C).
    2. Francisco David Moya & José Luis Torres-Moreno & José Domingo Álvarez, 2020. "Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles," Energies, MDPI, vol. 13(14), pages 1-18, July.
    3. Yu, Ying & Xiang, Tianhui & Wang, Di & Yang, Liu, 2024. "Optimization control strategy for mixed-mode buildings based on thermal comfort model: A case study of office buildings," Applied Energy, Elsevier, vol. 358(C).
    4. Lei Tang & Zhengtao Ai & Chunyan Song & Guoqiang Zhang & Zhengxuan Liu, 2021. "A Strategy to Maximally Utilize Outdoor Air for Indoor Thermal Environment," Energies, MDPI, vol. 14(13), pages 1-13, July.
    5. Francesco Mancini & Gianluigi Lo Basso & Livio de Santoli, 2019. "Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility," Energies, MDPI, vol. 12(15), pages 1-21, July.
    6. Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "Impact of adjustment strategies on building design process in different climates oriented by multiple performance," Applied Energy, Elsevier, vol. 266(C).
    8. Fiorentini, Massimo & Tartarini, Federico & Ledo Gomis, Laia & Daly, Daniel & Cooper, Paul, 2019. "Development of an enthalpy-based index to assess climatic potential for ventilative cooling of buildings: An Australian example," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Li, Wenzhuo & Wang, Shengwei, 2020. "A multi-agent based distributed approach for optimal control of multi-zone ventilation systems considering indoor air quality and energy use," Applied Energy, Elsevier, vol. 275(C).
    10. Li, Hangxin & Wang, Shengwei, 2022. "Comparative assessment of alternative MPC strategies using real meteorological data and their enhancement for optimal utilization of flexibility-resources in buildings," Energy, Elsevier, vol. 244(PA).
    11. Shuiguang Tong & Xiang Zhang & Zheming Tong & Yanling Wu & Ning Tang & Wei Zhong, 2019. "Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression," Energies, MDPI, vol. 13(1), pages 1-20, December.
    12. Wang, Zhe & Hong, Tianzhen, 2020. "Reinforcement learning for building controls: The opportunities and challenges," Applied Energy, Elsevier, vol. 269(C).
    13. Wang, Ran & Feng, Wei & Wang, Lan & Lu, Shilei, 2021. "A comprehensive evaluation of zero energy buildings in cold regions: Actual performance and key technologies of cases from China, the US, and the European Union," Energy, Elsevier, vol. 215(PA).
    14. Esmail Mahmoudi Saber & Issa Chaer & Aaron Gillich & Bukola Grace Ekpeti, 2021. "Review of Intelligent Control Systems for Natural Ventilation as Passive Cooling Strategy for UK Buildings and Similar Climatic Conditions," Energies, MDPI, vol. 14(15), pages 1-16, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    2. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    3. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    5. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    6. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    7. Cui, X. & Mohan, B. & Islam, M.R. & Chou, S.K. & Chua, K.J., 2017. "Energy performance evaluation and application of an air treatment system for conditioning building spaces in tropics," Applied Energy, Elsevier, vol. 204(C), pages 1500-1512.
    8. Nutkiewicz, Alex & Jain, Rishee K. & Bardhan, Ronita, 2018. "Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India," Applied Energy, Elsevier, vol. 231(C), pages 433-445.
    9. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    10. Ahmed, Tariq & Kumar, Prashant & Mottet, Laetitia, 2021. "Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    11. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    12. Fan, Yuling & Xia, Xiaohua, 2018. "Building retrofit optimization models using notch test data considering energy performance certificate compliance," Applied Energy, Elsevier, vol. 228(C), pages 2140-2152.
    13. Fiorentini, Massimo & Tartarini, Federico & Ledo Gomis, Laia & Daly, Daniel & Cooper, Paul, 2019. "Development of an enthalpy-based index to assess climatic potential for ventilative cooling of buildings: An Australian example," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. Tong, Shuiguang & Cheng, Zhewu & Cong, Feiyun & Tong, Zheming & Zhang, Yidong, 2018. "Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 125(C), pages 73-86.
    15. Yu, Bendong & He, Wei & Li, Niansi & Wang, Liping & Cai, Jingyong & Chen, Hongbing & Ji, Jie & Xu, Gang, 2017. "Experimental and numerical performance analysis of a TC-Trombe wall," Applied Energy, Elsevier, vol. 206(C), pages 70-82.
    16. Costanzo, Vincenzo & Yao, Runming & Xu, Tiantian & Xiong, Jie & Zhang, Qiulei & Li, Baizhan, 2019. "Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study," Renewable Energy, Elsevier, vol. 138(C), pages 340-353.
    17. He, Yueer & Liu, Meng & Kvan, Thomas & Peng, Shini, 2017. "An enthalpy-based energy savings estimation method targeting thermal comfort level in naturally ventilated buildings in hot-humid summer zones," Applied Energy, Elsevier, vol. 187(C), pages 717-731.
    18. Alberto Meiss & Miguel A. Padilla-Marcos & Jesús Feijó-Muñoz, 2017. "Methodology Applied to the Evaluation of Natural Ventilation in Residential Building Retrofits: A Case Study," Energies, MDPI, vol. 10(4), pages 1-19, April.
    19. Chenari, Behrang & Dias Carrilho, João & Gameiro da Silva, Manuel, 2016. "Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1426-1447.
    20. Chen, Jianli & Brager, Gail S. & Augenbroe, Godfried & Song, Xinyi, 2019. "Impact of outdoor air quality on the natural ventilation usage of commercial buildings in the US," Applied Energy, Elsevier, vol. 235(C), pages 673-684.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:235:y:2019:i:c:p:1141-1152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.